Certified
Self-directed project
Business Analytics Sprint
Data Science · August 2026
72/ 100
A ProoV case study · educational project, not employment
Built a structured profit-investigation workflow by framing KPI drivers, auditing the dataset for quality issues, and isolating the main profit pressures through pivot analysis and root-cause ranking. Also produced a quantified recovery scenario that translated operational levers into projected profit and margin improvement, showing strong business analysis and scenario thinking.
Graded against
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Passed · pass mark 60/100
What stood out6
- Mapped all 8 KPI drivers correctly to cost, price, or units, showing strong structural framing before analysis.
- Identified specific data issues in the audit, including a missing revenue value and a duplicate row, with flagged row references.
- Ranked the profit drivers in a plausible Pareto order and produced a recovery scenario with quantified savings and projected margin.
- Recognized the weakest-margin region and largest category in the pivot insight step, indicating attention to segment-level performance.
- Structured KPI Decomposition
- Data Quality Auditing
The work I submitted10 tasks
5 tasks · 765 characters · 5 written answers · 17 words
- KPI Driver Map174 characters
- Data Audit100 characters
- Dashboard58 characters
- Root Causes158 characters
- Forecast275 characters
- KPI Driver Map1 word
- Data Audit4 words
- Dashboard1 word
- Root Causes5 words
- Forecast6 words
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.